function [x, y] = IWTC_PO(wcR, wcI, L, cofilt) % IWT_PO -- Inverse Wavelet Transform (periodized, orthogonal) % Usage % x = IWTC_PO(wcR, wcI,L, cofilt) % Inputs % wcR real part of 1-d complex prthogonal wavelet transform: length(wc) = 2^J. % wcI imaginary part 1-d complex orthogonal wavelet transform: length(wc) = 2^J. % L Coarsest scale (2^(-L) = scale of V_0); L << J; % cofilt Complex orthonormal wavelet filter % Outputs % x 1-d signal reconstructed from wc % % Description % Suppose [wcR wcI] = FWTC_PO(x, L, cofilt). % Then x can be reconstructed by % x = IWTC_PO(wcR, wcI, L, cofilt) % % A complex filter qmfR+i*qmfI can be obtained by MakeCONFilter.m qmfR = real(cofilt); qmfI = imag(cofilt); wcoefR = ShapeAsRow(wcR); wcoefI = ShapeAsRow(wcI); xr = wcoefR(1:2^L); xi = wcoefI(1:2^L); [n,J] = dyadlength(wcoefR); for j=L:J-1 xrr = UpDyadLo(xr,qmfR) + UpDyadHi(wcoefR(dyad(j)),qmfR) ; xri = UpDyadLo(xr,-qmfI) + UpDyadHi(wcoefR(dyad(j)),qmfI) ; xir = UpDyadLo(xi,qmfR) + UpDyadHi(wcoefI(dyad(j)),qmfR) ; xii = UpDyadLo(xi,-qmfI) + UpDyadHi(wcoefI(dyad(j)),qmfI) ; xr = xrr - xii; xi = xri + xir ; end x = ShapeLike( xr , wcR ); y = ShapeLike( xi , wcI ); % % Copyright (c) 2001 Angelini, Katul, Lina, and Vidakovic, GaTech. %